Method, device and equipment for identifying location of high-angle fault zone and readable storage medium

CN123010068APending Publication Date: 2026-10-30CHINA NAT PETROLEUM CORP +1
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Patent Information

Application Number
CN202510558274.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-29
Publication Date
2026-10-30

AI Technical Summary

Technical Problem

[0004]然而,目标储层中还包括碳酸盐岩、巨厚砂岩等地质结构,这些地质结构的地震数据在地质剖面图上的呈现内容与高角断裂带在地质剖面图上的呈现内容一致,均为空白反射内容,导致提取相干切片时高角断裂带对应的特征表现不明显,且人工识别具备较强的主观性,最终影响高角度断裂带的识别效率,为后续圈闭落实带来一定误差影响,从而导致石油勘探失利

Benefits of technology

[0023]本申请实施例中,确定待识别地质结构内目标储层对应的相似储层(即:第一储层和第二储层),利用相干性分析确定第一储层对应的第一地质数据的第一切片,以及,确定第二储层对应的第二地质数据的第二切片。基于第一切片中标注的第一轨迹和第二切片中标注的第二轨迹,确定高角断裂带在目标储层中的位置,即使储层之间存在较强相似性,也能准确识别出高角断裂带的具体位置,为整体地质结构的高角断裂带的识别,增加可靠性以及准确性。

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Abstract

Embodiments of the present application provide a method, device and equipment for identifying a high-angle fracture zone position, and a readable storage medium. The method comprises: obtaining a geological profile corresponding to a geological structure to be identified; selecting a first reservoir and a second reservoir that meet a preset similarity condition with a target reservoir from the geological structure to be identified; obtaining first geological data corresponding to the first reservoir, and obtaining second geological data corresponding to the second reservoir; performing coherence analysis on the first reservoir based on the first geological data to obtain a first slice; performing coherence analysis on the second reservoir based on the second geological data to obtain a second slice; and determining a target position of the high-angle fracture zone in the target reservoir based on a first trajectory and the second trajectory. The identification accuracy of the high-angle fracture zone position is further improved.
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Description

Technical Field

[0001] This application relates to the field of petroleum exploration, and in particular to a method, apparatus, equipment, and readable storage medium for identifying the location of high-angle fault zones. Background Technology

[0002] High-angle fault zones play a crucial role in controlling the development of geological reservoirs and the availability of oil and gas. Large oil and gas reservoirs are typically located on both sides of high-angle fault zones. Accurate identification and characterization of high-angle fault zones lay a solid foundation for subsequent reservoir trap determination, reservoir analysis, and oil and gas exploration.

[0003] In related technologies, based on the seismic data corresponding to the target reservoir within the geological structure, coherent slices corresponding to the target reservoir are extracted. Subsequently, the coherent slices are analyzed using human visual identification methods to characterize the specific location of the high-angle fault zone within the target reservoir.

[0004] However, the target reservoir also includes geological structures such as carbonate rocks and thick sandstone. The seismic data of these geological structures are presented in the geological profile map in the same way as the high-angle fault zone, which is blank reflection content. This makes the feature representation of the high-angle fault zone not obvious when extracting coherent slices. Moreover, manual identification is highly subjective, which ultimately affects the identification efficiency of the high-angle fault zone and brings certain errors to the subsequent trap identification, thus leading to the failure of oil exploration. Summary of the Invention

[0005] This application provides a method, apparatus, device, and readable storage medium for identifying the location of high-angle fault zones, which improves the accuracy of high-angle fault zone identification to a certain extent. The technical solution is as follows:

[0006] In one aspect, a method for identifying the location of high-angle fault zones is provided, the method comprising:

[0007] Obtain a geological profile map corresponding to the geological structure to be identified. The geological profile map is used to reflect the distribution of underground reservoirs and structural features of the geological structure to be identified.

[0008] Select a first reservoir and a second reservoir from the geological structures to be identified that meet the preset similarity conditions to the target reservoir;

[0009] Obtain first geological data corresponding to the first reservoir, and obtain second geological data corresponding to the second reservoir;

[0010] Based on the first geological data, a coherence analysis is performed on the first reservoir to obtain a first slice, in which the first trajectory of the high-angle fault zone in the first reservoir is marked.

[0011] Based on the second geological data, a coherence analysis was performed on the second reservoir to obtain a second slice, in which the second slice is marked with the second trajectory of the high-angle fault zone in the second reservoir;

[0012] Based on the first trajectory and the second trajectory, the target location of the high-angle fracture zone in the target reservoir is determined.

[0013] On the other hand, a device for identifying the location of high-angle fault zones is provided, the device comprising:

[0014] The acquisition module is used to acquire the geological profile map corresponding to the geological structure to be identified. The geological profile map is used to reflect the underground reservoir distribution and structural features of the geological structure to be identified.

[0015] The selection module is used to select a first reservoir and a second reservoir from the geological structures to be identified that meet the preset similarity conditions of the target reservoir;

[0016] Obtain first geological data corresponding to the first reservoir, and obtain second geological data corresponding to the second reservoir;

[0017] The acquisition module is further configured to perform coherence analysis on the first reservoir based on the first geological data to obtain a first slice, wherein the first slice is marked with the first trajectory of the high-angle fault zone in the first reservoir;

[0018] The determination module is used to perform coherence analysis on the second reservoir based on the second geological data to obtain a second slice, in which the second slice is marked with the second trajectory of the high-angle fault zone in the second reservoir;

[0019] The determining module is further configured to determine the target location of the high-angle fracture zone in the target reservoir based on the first trajectory and the second trajectory.

[0020] On the other hand, a computer-readable storage medium is provided, wherein at least one segment is stored in the storage medium, the at least one segment being loaded and executed by a processor to implement the method for identifying the location of high-angle fracture zones as described above.

[0021] On the other hand, a computer program product or computer program is provided, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the method for identifying the location of high-angle fault zones as described above.

[0022] The beneficial effects of the technical solutions provided in this application include at least the following:

[0023] In this embodiment, similar reservoirs (i.e., the first reservoir and the second reservoir) corresponding to the target reservoir within the geological structure to be identified are determined. Coherence analysis is used to determine a first slice of the first geological data corresponding to the first reservoir, and a second slice of the second geological data corresponding to the second reservoir is determined. Based on the first trajectory marked in the first slice and the second trajectory marked in the second slice, the location of the high-angle fault zone within the target reservoir is determined. Even if there is strong similarity between reservoirs, the specific location of the high-angle fault zone can be accurately identified, increasing the reliability and accuracy of identifying high-angle fault zones in the overall geological structure. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a flowchart illustrating the method for identifying the location of high-angle fault zones provided in an embodiment of this application.

[0026] Figure 2 This is a flowchart of a method for identifying the location of a high-angle fracture zone provided in an exemplary embodiment of this application;

[0027] Figure 3 This is a schematic diagram illustrating the determination of overlapping trajectories provided in an embodiment of this application;

[0028] Figure 4 This is a flowchart of a method for identifying the location of a high-angle fault zone provided in another exemplary embodiment of this application;

[0029] Figure 5 This is a schematic diagram illustrating the determination of interlayer spacing provided in an exemplary embodiment of this application;

[0030] Figure 6 This is a schematic diagram illustrating the determination of the location of a high-angle fracture zone within a non-overlapping trajectory, provided by an exemplary embodiment of this application.

[0031] Figure 7 This is a structural block diagram of a high-angle fracture zone location identification device provided in an exemplary embodiment of this application;

[0032] Figure 8 This is a structural block diagram of a computer device provided in an exemplary embodiment of this application. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0034] As shown in the figure Figure 1 A flowchart illustrating a method for identifying the location of high-angle fault zones according to an embodiment of this application is shown. This method is implemented by terminal 100.

[0035] During oil exploration, terminal 100 acquires seismic data corresponding to the geological structure to be identified, and generates a geological profile map 110 corresponding to the geological structure to be identified based on the seismic data.

[0036] Optionally, the geological profile 110 marks multiple reservoirs, and the terminal 100 identifies the specific location of the high-angle fault zone within a particular reservoir. In this embodiment, a specific reservoir is identified as the target reservoir; that is, the target reservoir is the reservoir where the high-angle fault zone to be identified is located.

[0037] Terminal 100 selects a first reservoir and a second reservoir that meet preset similar conditions to the target reservoir from multiple reservoirs, and obtains first geological data corresponding to the first reservoir and second geological data corresponding to the second reservoir.

[0038] Terminal 100 performs coherence analysis on the first geological data and the second geological data respectively to obtain the first slice 120 corresponding to the first reservoir and the second slice 130 corresponding to the second reservoir.

[0039] The first slice 120 is marked with the first trajectory of the high-angle fault zone in the first reservoir, and the second slice 130 is marked with the second trajectory of the high-angle fault zone in the second reservoir.

[0040] Terminal 100 determines the target location of the high-angle fault zone in the target reservoir based on the first trajectory and the second trajectory.

[0041] It is worth noting that when terminal 100 is implemented as a smart terminal, the smart terminal can be a smartphone, tablet computer, laptop computer, or desktop computer. The terminal can also be referred to as user equipment, portable terminal, laptop terminal, desktop terminal, or other names, and this application does not limit it in this regard.

[0042] In another optional embodiment, the method for identifying the location of high-angle fault zones provided in this application can be jointly executed by the terminal 100 and the server, and this application does not limit this.

[0043] It should be noted that the information (including but not limited to earthquakes), data (including but not limited to data used for analysis, data stored, data displayed), and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use, and processing of the relevant data must comply with the relevant laws, regulations, and standards of the relevant countries and regions.

[0044] Based on the above description, the method for identifying the location of high-angle fault zones involved in the embodiments of this application will be explained. Figure 2 This is a flowchart of a method for identifying the location of a high-angle fault zone provided in an exemplary embodiment of this application, which is illustrated by applying the method to a terminal. Figure 2 As shown, the method includes:

[0045] Step 200: Obtain the geological profile map corresponding to the geological structure to be identified.

[0046] In oil exploration, multiple different exploration devices are deployed at the site of the geological structure to be identified. Data collected by these devices is analyzed to generate seismic data corresponding to the geological structure. Based on this seismic data, a geological profile map of the geological structure is generated.

[0047] Among them, a geological profile is a two-dimensional or three-dimensional image used to reflect the distribution and structural characteristics of underground reservoirs in the geological structure to be identified.

[0048] Indicatively, a geological profile is generated by exciting seismic waves at the surface of the geological structure to be identified and recording the reflection and refraction of these waves within the underground reservoir. The terminal then analyzes the arrival time and amplitude of the reflected waves to determine information such as the depth, thickness, dip angle, and lithological variations of the underground reservoir.

[0049] In this embodiment of the application, the geological profile map includes a two-dimensional geological profile map and a three-dimensional geological profile map.

[0050] Two-dimensional geological profiles are generated from seismic data collected along a survey line and are used to show the vertical variations of underground reservoirs. Three-dimensional geological profiles are generated from seismic data collected in three-dimensional space and are used to improve the three-dimensional structural information of underground reservoirs.

[0051] Taking a two-dimensional geological profile as an example, the process of generating a two-dimensional geological profile includes the following:

[0052] S1, Data Acquisition.

[0053] Seismic waves are generated on the surface of the geological structure to be identified by means of controlled source or explosion, and the reflection of seismic waves in the underground reservoir is recorded by seismograph. Seismic data is generated based on the reflection.

[0054] S2, Data Processing.

[0055] Seismic data is preprocessed to obtain processed seismic data. Preprocessing includes, but is not limited to, noise removal and time delay correction.

[0056] Seismic data is input into designated software to generate geological profile maps. The designated software is seismic data processing software, which processes the seismic data to generate the geological profile maps.

[0057] S3, Data Interpretation.

[0058] 1) Construction interpretation.

[0059] Indicatively, identify geological structural features such as reservoir interfaces, faults, and folds in geological profiles.

[0060] 2) Lithological analysis.

[0061] The lithological variations of the geological structure to be identified are obtained by analyzing the amplitude, frequency, and other attributes within the seismic data.

[0062] 3) Oil and gas reservoir prediction.

[0063] Based on geological models, the distribution of oil and gas reservoirs is predicted. Oil and gas reservoir prediction is an application example of geological profile mapping; this application does not cover this topic, therefore, it will not be described in detail.

[0064] Step 210: Select the first and second reservoirs from the geological structures to be identified that meet the preset similarity conditions of the target reservoir.

[0065] In this embodiment of the application, any one of multiple underground reservoirs is selected as the target reservoir, and the specific location of the high-angle fault zone in the target reservoir is determined.

[0066] Optionally, the preset similarity conditions include at least two conditions such as distance similarity, amplitude similarity, and attitude similarity.

[0067] Among these criteria, the distance similarity condition refers to the distance between multiple reservoirs and the target reservoir being less than a first preset value; the amplitude similarity condition refers to the amplitude of each of the multiple reservoirs being less than the amplitude of the target reservoir being less than a second preset value; and the occurrence similarity condition refers to the oil content of each of the multiple reservoirs being less than the oil content of the target reservoir being less than a third preset value. It should be noted that the amplitude and oil content of each of the multiple reservoirs are determined when establishing the geological profile of the geological structure to be identified.

[0068] In this embodiment of the application, a first reservoir and a second reservoir that meet preset similarity conditions with the target reservoir are selected from multiple reservoirs. Schematic, the first reservoir is the reservoir above the target reservoir, and the second reservoir is the reservoir below the target reservoir; that is, the first reservoir, the target reservoir, and the second reservoir are continuously connected reservoirs.

[0069] In another optional embodiment, the preset similarity condition also includes a boundary similarity condition. The boundary similarity condition refers to the complete discontinuity within the contact surface between reservoirs being greater than a fourth preset value. Here, a complete discontinuity refers to a missing area within the geological structure appearing as a closed region on a geological profile. This closed region can be a circular, rectangular, triangular, or other irregular shape. In other words, the closed region needs to simultaneously cover two adjacent reservoirs. The first reservoir and the target reservoir, as well as the second reservoir and the target reservoir, exhibit strong continuity and easy identification, with clear boundary discontinuities.

[0070] Step 220: Obtain the first geological data corresponding to the first reservoir, and obtain the second geological data corresponding to the second reservoir.

[0071] Optionally, after determining the first reservoir and the second reservoir, the first geological data corresponding to the first reservoir and the second geological data corresponding to the second reservoir can be directly obtained.

[0072] Geological data refers to information about seismic activity and underground geological structures obtained through geological monitoring and exploration technologies. Geological data includes characteristics such as the propagation time, amplitude, and frequency of seismic waves, and is used to analyze seismic activity, study underground geological structures, and predict the likelihood of earthquakes.

[0073] Geological data typically includes, but is not limited to, metadata, time-series data, and optional fields. Metadata includes earthquake occurrence information, location information, data recording time, data sampling frequency, etc.; time-series data stores the changes in seismic wave amplitude over time; optional fields indicate additional custom information for relevant personnel, such as specific observation conditions, data processing information, etc.

[0074] Geological data is obtained by seismographs, data acquisition units, and data processing software. These components interact via a communication network (wired or wireless). Seismographs detect ground motion and convert the resulting signals into electrical signals. Data acquisition units convert the collected electrical signals (analog signals) into digital signals and perform preprocessing. Data processing software receives the preprocessed data and analyzes it, including the subsurface reservoir structure, to identify the geological features to be identified.

[0075] In this embodiment of the application, geological data includes seismic trace data, which refers to the seismic reflected or refracted wave signals propagating to the seismic measuring point of the geological structure to be identified, recorded during seismic exploration using equipment such as detectors, amplifiers, analog-to-digital converters, and recording systems. Seismic trace data includes the waveform, amplitude, frequency, and phase of each measuring point.

[0076] Understandably, seismic trace data is the basic unit of seismic exploration data, recording the process by which seismic waves travel from the excitation point, are reflected or refracted by the strata, and return to the receiving point.

[0077] Step 230: Perform coherence analysis on the first reservoir based on the first geological data to obtain the first slice.

[0078] Optionally, coherence analysis is an attribute analysis technique based on geological data, used to detect discontinuities in geological data. In the embodiments of this application, coherence analysis generates a coherence volume by calculating the similarity (correlation) between seismic trace data.

[0079] A coherence volume refers to a new three-dimensional data volume obtained by performing coherence analysis on a geological data volume. This is mainly achieved by calculating the similarity of the waveforms of the analysis point within a small time window and the adjacent traces in the three-dimensional data volume, thus forming a new data volume characterizing coherence.

[0080] In this embodiment of the application, a first slice is extracted from the first geological data along the first reservoir. The time window size is the trial period of the phase axis of the first reservoir, and the trial period is determined according to the actual seismic exploration situation.

[0081] Optionally, after obtaining the first slice, the high-angle fracture zone within the first slice can be determined using the highlight tracking method to determine the first trajectory of the high-angle fracture zone in the first reservoir.

[0082] The highlight tracking method is used to track the regions corresponding to the highlighted image content in the first slice. Specifically, it extracts the features corresponding to each pixel in the first slice, such as color, shape, and texture. Then, it combines these features with a deep learning model to perform feature learning and classification, thereby identifying the highlighted regions in the first slice and presenting these highlighted regions as trajectories. In other words, the first slice marks the first trajectory of the high-angle fracture zone in the first reservoir.

[0083] Indicatively, the highlighted area is identified as a rectangular area, and the axis of the rectangular area is determined as the first trajectory; or, the highlighted area is identified as a rectangular area, and the edge of the rectangular area is determined as the first trajectory.

[0084] Step 240: Perform coherence analysis on the second reservoir based on the second geological data to obtain the second slice.

[0085] Optionally, the specific execution process of this step is the same as step 230 above, and will not be repeated here.

[0086] It should be noted that the second slice is marked with the second trajectory of the high-angle fault zone in the second reservoir.

[0087] It should be noted that the first slice center in the geological structure to be identified, at its first position, and the second slice center in the geological structure to be identified, at its second position, coincide in the vertical direction.

[0088] Step 250: Based on the first trajectory and the second trajectory, determine the target location of the high-angle fracture zone in the target reservoir.

[0089] Optionally, the target location of the high-angle fault zone in the target reservoir is determined based on the overlap between the first and second trajectories. Illustratively, the overlapping trajectory between the first and second trajectories is obtained, and this overlapping trajectory is determined as the target location of the high-angle fault zone in the target reservoir. Figure 3 As shown, Figure 3 A schematic diagram is shown for determining the target location based on the overlap between trajectories. The first trajectory 310 in the first slice 300, where the high-angle fault zone is located, is identified, and the second trajectory 330 in the second slice 320, where the high-angle fault zone is located, is identified. The first trajectory 310 and the second trajectory 330 are overlapped to obtain the overlapping trajectory 340, which is the target location of the high-angle fault zone in the target reservoir.

[0090] In another optional embodiment, a first geological structure coordinate system is established with the first slice as the first center. The first geological structure coordinate system is marked with the first coordinate data corresponding to the first trajectory. The horizontal coordinate of the first coordinate data is used to indicate the spatial location corresponding to the first geological data, and the vertical coordinate of the first coordinate data refers to the coherence value.

[0091] Using the second slice as the second center, a second geological structure coordinate system is established. The second geological structure coordinate system is marked with the second coordinate data corresponding to the second trajectory. The horizontal coordinate of the second coordinate data is used to indicate the spatial location corresponding to the second geological data, and the vertical coordinate of the second coordinate data refers to the coherence value.

[0092] In other words, the first center and the second center are in the same relative position in the first slice and the second center in the second slice, and the first geological structure coordinate system and the second geological structure coordinate system are coordinate systems established on the same axis based on the same display angle of the first slice and the second slice.

[0093] By comparing the first and second coordinate data, the set of coordinate data in the first coordinate data that meets the similarity requirement with the second coordinate data is determined as the overlapping trajectory. The similarity requirement means that the first and second coordinate data are identical in both the horizontal and vertical coordinate values. After determining the set of coordinate data corresponding to the identical coordinate data, lines are drawn between these identical coordinate data to form the overlapping trajectory.

[0094] In another optional embodiment, the average of the first coordinate data and the second coordinate data is taken, and the coordinate data formed by the average is connected to determine the location of the high-angle fault zone in the target reservoir.

[0095] In another optional embodiment, after determining the overlapping trajectory, a target slice in the target reservoir that coincides vertically with the first slice and is the same size as the first slice is identified. The overlapping trajectory is added to the target slice and marked. The trajectory where the overlapping trajectory is located is the position of the high-angle fault zone in the target reservoir. That is, the center points of the first slice, the target slice, and the second slice coincide vertically, and the first slice, the target slice, and the second slice are the same size.

[0096] In this embodiment, similar reservoirs (i.e., the first reservoir and the second reservoir) corresponding to the target reservoir within the geological structure to be identified are determined. Coherence analysis is used to determine a first slice of the first geological data corresponding to the first reservoir, and a second slice of the second geological data corresponding to the second reservoir is determined. Based on the first trajectory marked in the first slice and the second trajectory marked in the second slice, the location of the high-angle fault zone within the target reservoir is determined. Even if there is strong similarity between reservoirs, the specific location of the high-angle fault zone can be accurately identified, increasing the reliability and accuracy of identifying high-angle fault zones in the overall geological structure.

[0097] Based on the above description, the method for identifying the location of high-angle fault zones involved in the embodiments of this application will be explained. Figure 4 This is a flowchart of a method for identifying the location of a high-angle fracture zone provided in another exemplary embodiment of this application, illustrated by its application in a terminal, such as... Figure 4 As shown, the method includes:

[0098] Step 400: Obtain the non-overlapping trajectory between the first trajectory and the second trajectory.

[0099] In another optional embodiment, if there is an overlapping trajectory between the first trajectory and the second trajectory, the overlapping trajectory is determined as the target location of the target reservoir where the high-angle fault zone is located using the process of steps 200 to 250 above; if there is a non-overlapping trajectory between the first trajectory and the second trajectory, the specific location of the high-angle fault zone in the target reservoir on the non-overlapping trajectory is determined using the process of steps 400 to 420 below.

[0100] Schematic illustration: Using the geological structure coordinate system established in step 250 above, the non-overlapping trajectory between the first and second trajectories is determined. For example... Figure 3 As shown, for non-overlapping trajectories please refer to [link / reference]. Figure 3 Marker 350 in the text.

[0101] Step 410: Determine the first position of the non-overlapping trajectory in the target reservoir, determine the second position of the non-overlapping trajectory in the first reservoir, and determine the third position of the non-overlapping trajectory in the second reservoir.

[0102] Optionally, a target slice in the target reservoir that coincides vertically with the first slice and is the same size as the first slice is identified. The overlapping trajectory is added to the target slice and marked. The trajectory where the overlapping trajectory is located is the position of the high-angle fault zone in the target reservoir. That is, the center points of the first slice, the target slice, and the second slice coincide vertically, and the first slice, the target slice, and the second slice are the same size.

[0103] Determine the first position of the non-overlapping trajectory in the target slice, determine the second position of the non-overlapping trajectory in the first slice of the first slice, and determine the third position of the non-overlapping trajectory in the second slice.

[0104] Optionally, determine the horizontal axis corresponding to the center of the target slice, and obtain the first position coordinates corresponding to the first position on the horizontal axis; determine the horizontal axis corresponding to the center of the first slice, and obtain the second position coordinates corresponding to the second position on the horizontal axis; determine the horizontal axis corresponding to the center of the second slice, and obtain the third position coordinates corresponding to the third position on the horizontal axis.

[0105] Step 420: Based on the relative relationship between the first position, the second position, and the third position, determine the location of the high-angle fault zone from the non-overlapping trajectory.

[0106] Optionally, based on the correlation between the first, second, and third position coordinates mentioned above, the location of the high-angle fault zone can be determined from the overlapping trajectories.

[0107] In an optional embodiment, the average of the sum of the x-coordinates of the first position coordinate, the second position coordinate, and the third position coordinate is determined as the target x-coordinate of the high-angle fault zone; the average of the sum of the y-coordinates of the first position coordinate, the second position coordinate, and the third position coordinate is determined as the target y-coordinate of the high-angle fault zone; and the position corresponding to the target x-coordinate and the target y-coordinate is determined as the location of the high-angle fault zone in the target slice.

[0108] In another optional embodiment, the offset angle of the non-overlapping trajectory between the target reservoir and the first reservoir is determined based on the first position and the second position. Illustratively, the offset angle is determined based on the coordinate data corresponding to the first position and the coordinate data corresponding to the second position.

[0109] The location of the high-angle fault zone is determined from the non-overlapping trajectory based on the offset angle, the first position, the second position, and the third position.

[0110] Optionally, a first distance between the first reservoir and the target reservoir is determined, and a second distance between the second reservoir and the target reservoir is determined. The first distance is determined based on the distance between the top regions of the first reservoir and the top regions of the target reservoir, and the second distance is determined based on the distance between the top regions of the second reservoir and the top regions of the target reservoir.

[0111] Based on the offset angle and the first distance, the first interlayer spacing between the first reservoir and the target reservoir is determined. The calculation process for the first interlayer spacing can be found in Formula 1 below.

[0112] Formula 1:

[0113] In Formula 1, L1 is the first layer spacing, h1 is the first distance, and α is the offset angle.

[0114] Based on the offset angle and the second distance, the second interlayer spacing between the second reservoir and the target reservoir is determined. The calculation process for the second interlayer spacing can be found in Formula 2 below.

[0115] Formula 2:

[0116] In Formula 2, L2 is the second spacing, h2 is the second distance, and α is the offset angle.

[0117] like Figure 5 As shown, Figure 5A schematic diagram illustrating the determination of interlayer spacing is shown. Interface 500 includes a first reservoir, a target reservoir, and a second reservoir. The high-angle fault zone is determined at a first position (visible intersection 510), a second position (visible intersection 520), and a third position (visible intersection 530) corresponding to the three reservoirs, respectively. Based on the relationship between the first and second positions, the offset angle α is determined, and then the interlayer spacing displacement between the reservoirs is determined based on the distance between the reservoirs.

[0118] The sum of the spacing between the first and second layers is determined as the horizontal displacement of the high-angle fault zone in the non-overlapping trajectory.

[0119] Based on the first and second distances, determine the displacement ratio of the high-angle fault zone in the non-overlapping trajectory. The calculation process for the displacement ratio can be found in Formula 3 below.

[0120] Formula 3:

[0121] In Formula 2, h1 is the first distance, h2 is the second distance, and C is the displacement ratio.

[0122] Based on the displacement ratio, the first, second, and third positions are adjusted to obtain the adjusted first, second, and third positions. Schematic, the coordinate data corresponding to the first, second, and third positions are added to the displacement ratio respectively to obtain three increased coordinate data points. These increased coordinate data points are then used to determine the location of the high-angle fault zone corresponding to the non-overlapping trajectory.

[0123] Draw the connecting lines between the adjusted first position, the adjusted second position, and the adjusted third position to generate the position of the high-angle fault zone in the non-overlapping trajectory.

[0124] In another optional embodiment, control lines are uniformly selected in the non-overlapping trajectory region, and the sixth distance between the control lines and the intersection points of the first and second reservoirs is determined by the coordinate data corresponding to the non-overlapping trajectories.

[0125] The intersection of the control line and the first reservoir is shifted by the target distance towards the second reservoir. The trajectory connecting the intersection points after the shift is the target location of the high-angle fracture zone of the target reservoir.

[0126] The calculation process for the target distance can be found in Formula 4 below.

[0127] Formula 4: A = K * C;

[0128] In Formula 4, K is the sixth distance and C is the displacement ratio.

[0129] like Figure 6 As shown, Figure 6A schematic diagram showing the location of high-angle fracture zones within non-overlapping trajectories in the target reservoir is presented. Figure 3 Taking the non-overlapping trajectory as an example, the non-overlapping trajectory region 600 is divided horizontally according to the lateral segmentation method. Schematic, the non-overlapping trajectory region 600 is divided into three equal-length regions (implemented by four control lines). The intersection points of the four control lines with the non-overlapping trajectory 600 are determined. In this example, taking the left intersection point of the non-overlapping trajectory 600 as an example, intersection points A, E, U, and V are determined. The target distance is determined using the above method. Intersection points A, E, U, and V are shifted to the right by the target distance to obtain intersection points A1, E1, U2, and V2. Connecting intersection points A1, E1, U2, and V2 delineates the target location 610 where the high-angle fault zone is located at the non-overlapping trajectory. It should be noted that the right intersection point of the non-overlapping trajectory 600 is shifted to the left.

[0130] In this embodiment, similar reservoirs (i.e., the first reservoir and the second reservoir) corresponding to the target reservoir within the geological structure to be identified are determined. Coherence analysis is used to determine a first slice of the first geological data corresponding to the first reservoir, and a second slice of the second geological data corresponding to the second reservoir is determined. Based on the first trajectory marked in the first slice and the second trajectory marked in the second slice, the location of the high-angle fault zone within the target reservoir is determined. Even if there is strong similarity between reservoirs, the specific location of the high-angle fault zone can be accurately identified, increasing the reliability and accuracy of identifying high-angle fault zones in the overall geological structure.

[0131] Please see Figure 7 This diagram illustrates a structural block diagram of a device for identifying the location of a high-angle fracture zone, provided in an exemplary embodiment of this application. The device includes the following components.

[0132] The acquisition module 700 is used to acquire a geological profile map corresponding to the geological structure to be identified. The geological profile map is used to reflect the underground reservoir distribution and structural features of the geological structure to be identified.

[0133] Selection module 710 is used to select a first reservoir and a second reservoir from the geological structures to be identified that meet preset similarity conditions with the target reservoir;

[0134] The acquisition module 700 is further configured to acquire first geological data corresponding to the first reservoir, and to acquire second geological data corresponding to the second reservoir;

[0135] The acquisition module 700 is further configured to perform coherence analysis on the first reservoir based on the first geological data to obtain a first slice, wherein the first slice is marked with the first trajectory of the high-angle fault zone in the first reservoir;

[0136] The determination module 720 is used to perform coherence analysis on the second reservoir based on the second geological data to obtain a second slice, in which the second slice is marked with the second trajectory of the high-angle fault zone in the second reservoir;

[0137] The determining module 720 is further configured to determine the target location of the high-angle fracture zone in the target reservoir based on the first trajectory and the second trajectory.

[0138] In an optional embodiment, the acquisition module 700 is further configured to acquire the overlapping trajectory between the first trajectory and the second trajectory;

[0139] The determining module 720 is further configured to determine the overlapping trajectory as the target location of the high-angle fracture zone in the target reservoir.

[0140] In an optional embodiment, the determining module 720 is further configured to establish a first geological structure coordinate system with the first slice as the first center, wherein the first geological structure coordinate system is marked with the first coordinate data corresponding to the first trajectory;

[0141] The determining module 720 is further configured to establish a second geological structure coordinate system with the second slice as the second center. The second geological structure coordinate system is marked with the second coordinate data corresponding to the second trajectory. The first center in the first slice and the second center in the second slice have the same relative position. The first geological structure coordinate system and the second geological structure coordinate system are coordinate systems established with the same axis based on the same display angle of the first slice and the second slice.

[0142] The determining module 720 is also used to compare the first coordinate data and the second coordinate data;

[0143] The determining module 720 is further configured to determine the set of coordinate data in the first coordinate data that meets the similarity requirement with the second coordinate data as the overlapping trajectory.

[0144] In an optional embodiment, the acquisition module 700 is further configured to acquire a non-overlapping trajectory between the first trajectory and the second trajectory;

[0145] The determining module 720 is further configured to determine a first position of the non-overlapping trajectory in the target reservoir, a second position of the non-overlapping trajectory in the first reservoir, and a third position of the non-overlapping trajectory in the second reservoir.

[0146] The determining module 720 is further configured to determine the location of the high-angle fracture zone from the non-overlapping trajectory based on the relative relationship between the first position, the second position and the third position.

[0147] In an optional embodiment, the determining module 720 is further configured to determine, based on the first position and the second position, the offset angle of the non-overlapping trajectory between the target reservoir and the first reservoir;

[0148] The determining module 720 is further configured to determine the position of the high-angle fracture zone from the non-overlapping trajectory based on the offset angle, the first position, the second position, and the third position.

[0149] In an optional embodiment, the determining module 720 is further configured to determine a first distance between the first reservoir and the target reservoir, and to determine a second distance between the second reservoir and the target reservoir;

[0150] The determining module 720 is further configured to determine a first layer spacing between the first reservoir and the target reservoir based on the offset angle and the first distance;

[0151] The determining module 720 is further configured to determine a second layer spacing between the second reservoir and the target reservoir based on the offset angle and the second distance;

[0152] The determining module 720 is further configured to determine the sum of the first layer spacing and the second layer spacing as the horizontal displacement of the high-angle fracture zone in the non-overlapping trajectory;

[0153] The determining module 720 is further configured to determine the displacement ratio of the high-angle fracture zone in the non-overlapping trajectory based on the first distance and the second distance;

[0154] The determining module 720 is further configured to adjust the first position, the second position, and the third position according to the displacement ratio to obtain the adjusted first position, the adjusted second position, and the adjusted third position.

[0155] The determining module 720 is also used to draw the connecting line between the adjusted first position, the adjusted second position and the adjusted third position, and generate the position of the high-angle fracture zone in the non-overlapping trajectory.

[0156] In an optional embodiment, the acquisition module 700 is further configured to acquire at least one characteristic attribute in the first reservoir;

[0157] The determining module 720 is further configured to construct a covariance matrix based on the at least one feature attribute, wherein the covariance matrix includes at least one feature value corresponding to the at least one feature attribute;

[0158] The determining module 720 is further configured to determine at least one similarity coefficient corresponding to each of the at least one feature value;

[0159] The determining module 720 is further configured to obtain the first slice based on the at least one similarity coefficient.

[0160] In this embodiment, similar reservoirs (i.e., the first reservoir and the second reservoir) corresponding to the target reservoir within the geological structure to be identified are determined. Coherence analysis is used to determine a first slice of the first geological data corresponding to the first reservoir, and a second slice of the second geological data corresponding to the second reservoir is determined. Based on the first trajectory marked in the first slice and the second trajectory marked in the second slice, the location of the high-angle fault zone within the target reservoir is determined. Even if there is strong similarity between reservoirs, the specific location of the high-angle fault zone can be accurately identified, increasing the reliability and accuracy of identifying high-angle fault zones in the overall geological structure.

[0161] It should be noted that the high-angle fault zone location identification device provided in the above embodiments is only an example of the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the high-angle fault zone location identification device and the high-angle fault zone location identification method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0162] Figure 8 This illustration shows a structural block diagram of a computer device 800 provided in an exemplary embodiment of this application. The computer device 800 can be a portable mobile terminal, such as a smartphone, tablet computer, MP3 player (Moving Picture Experts Group Audio Layer III), MP4 player (Moving Picture Experts Group Audio Layer IV), laptop computer, or desktop computer. The computer device 800 may also be referred to as a user device, portable terminal, laptop terminal, desktop terminal, or other names. Optionally, the computer device 800 can also be implemented as a mobile device, such as a vehicle-mounted terminal or other portable smart terminal.

[0163] Typically, computer device 800 includes a processor 801 and a memory 802.

[0164] Processor 601 may include one or more processing cores, such as a quad-core processor, an octa-core processor, etc. Processor 801 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). Processor 801 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, processor 801 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, processor 801 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.

[0165] The memory 802 may include one or more computer-readable storage media, which may be non-transitory. The memory 802 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the non-transitory computer-readable storage media in the memory 802 are used to store at least one instruction, which is executed by the processor 801 to implement the model training method or behavior encoding method provided in the method embodiments of this application.

[0166] In some embodiments, the computer device 800 may also optionally include a peripheral device interface 803 and at least one peripheral device. The processor 801, memory 802, and peripheral device interface 803 can be connected via a bus or signal line. Each peripheral device can be connected to the peripheral device interface 803 via a bus, signal line, or circuit board. For example, the peripheral device may include at least one of a radio frequency circuit 804, a display screen 805, a positioning component 815, and a power supply 808.

[0167] Peripheral device interface 803 can be used to connect at least one I / O (Input / Output) related peripheral device to processor 801 and memory 802. In some embodiments, processor 801, memory 802 and peripheral device interface 803 are integrated on the same chip or circuit board; in some other embodiments, any one or two of processor 801, memory 802 and peripheral device interface 803 can be implemented on separate chips or circuit boards, which is not limited in this embodiment.

[0168] The radio frequency (RF) circuit 804 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The RF circuit 804 communicates with communication networks and other communication devices via electromagnetic signals. The RF circuit 804 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals back into electrical signals. Optionally, the RF circuit 804 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a user identity module card, etc. The RF circuit 804 can communicate with other terminals through at least one wireless communication protocol. This wireless communication protocol includes, but is not limited to: the World Wide Web, metropolitan area networks, intranets, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and / or WiFi (Wireless Fidelity) networks. In some embodiments, the RF circuit 804 may also include circuitry related to NFC (Near Field Communication), which is not limited in this application.

[0169] Display screen 805 is used to display a UI (User Interface). This UI may include graphics, text, icons, videos, and any combination thereof. When display screen 805 is a touch display screen, it also has the ability to collect touch signals on or above its surface. These touch signals can be input as control signals to processor 801 for processing. In this case, display screen 805 can also be used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments, there may be one display screen 805, disposed on the front panel of computer device 800; in other embodiments, there may be at least two display screens, disposed on different surfaces of computer device 800 or in a folded design; in still other embodiments, display screen 805 may be a flexible display screen, disposed on a curved or folded surface of computer device 800. Furthermore, display screen 805 may be configured as a non-rectangular irregular shape, i.e., a non-rectangular screen. Display screen 805 may be made of materials such as LCD (Liquid Crystal Display) or OLED (Organic Light-Emitting Diode).

[0170] Power supply 808 is used to supply power to various components in computer device 800. Power supply 808 can be alternating current, direct current, a disposable battery, or a rechargeable battery. When power supply 808 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery that is charged via a wired line, while a wireless rechargeable battery is a battery that is charged via a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0171] In some embodiments, the computer device 800 further includes one or more sensors 809. The one or more sensors 809 include, but are not limited to, an accelerometer 810, a gyroscope 811, a pressure sensor 812, an optical sensor 813, and a proximity sensor 814.

[0172] Accelerometer 810 can detect the magnitude of acceleration along the three coordinate axes of a coordinate system established by computer device 800. For example, accelerometer 810 can be used to detect the components of gravitational acceleration along the three coordinate axes. Processor 801 can control display screen 805 to display the user interface in either a landscape or portrait view based on the gravitational acceleration signal acquired by accelerometer 810. Accelerometer 810 can also be used for games or for acquiring user motion data.

[0173] The gyroscope sensor 811 can detect the orientation and rotation angle of the computer device 800. The gyroscope sensor 811, in conjunction with the accelerometer sensor 810, can collect 3D motion data from the user on the computer device 800. Based on the data collected by the gyroscope sensor 811, the processor 801 can perform the following functions: motion sensing (e.g., changing the UI based on the user's tilt), image stabilization during shooting, game control, and inertial navigation.

[0174] The pressure sensor 812 can be disposed on the side bezel of the computer device 800 and / or on the lower layer of the display screen 805. When the pressure sensor 812 is disposed on the side bezel of the computer device 800, it can detect the user's grip signal on the computer device 800, and the processor 801 can perform left / right hand recognition or quick operation based on the grip signal collected by the pressure sensor 812. When the pressure sensor 812 is disposed on the lower layer of the display screen 805, the processor 801 can control the operable controls on the UI interface based on the user's pressure operation on the display screen 805. The operable controls include at least one of button controls, scroll bar controls, icon controls, and menu controls.

[0175] An optical sensor 813 is used to collect ambient light intensity. In one embodiment, the processor 801 can control the display brightness of the display screen 805 based on the ambient light intensity collected by the optical sensor 813. For example, when the ambient light intensity is high, the display brightness of the display screen 805 is increased; when the ambient light intensity is low, the display brightness of the display screen 805 is decreased. In another embodiment, the processor 801 can also dynamically adjust the shooting parameters of the camera assembly 808 based on the ambient light intensity collected by the optical sensor 813.

[0176] A proximity sensor 814, also known as a distance sensor, is typically located on the front panel of a computer device 800. The proximity sensor 814 is used to detect the distance between the user and the front of the computer device 800. In one embodiment, when the proximity sensor 814 detects that the distance between the user and the front of the computer device 800 is gradually decreasing, the processor 801 controls the display screen 805 to switch from a screen-on state to a screen-off state; when the proximity sensor 814 detects that the distance between the user and the front of the computer device 800 is gradually increasing, the processor 801 controls the display screen 805 to switch from a screen-off state to a screen-on state.

[0177] Those skilled in the art will understand that Figure 8 The structure shown does not constitute a limitation on the computer device 800, and may include more or fewer components than shown, or combine certain components, or use different component arrangements.

[0178] This application also provides a computer-readable storage medium storing at least one instruction, at least one program, code set, or instruction set, wherein the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by a processor to implement the method for identifying the location of high-angle fracture zones provided in the above-described method embodiments.

[0179] This application provides a computer program product or computer program that includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the method for identifying the location of high-angle fracture zones provided in the above-described method embodiments.

[0180] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0181] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for identifying the location of a high-angle fault zone, characterized in that, The method includes: Obtain a geological profile map corresponding to the geological structure to be identified. The geological profile map is used to reflect the distribution of underground reservoirs and structural features of the geological structure to be identified. Select a first reservoir and a second reservoir from the geological structures to be identified that meet the preset similarity conditions to the target reservoir; Obtain first geological data corresponding to the first reservoir, and obtain second geological data corresponding to the second reservoir; Based on the first geological data, a coherence analysis is performed on the first reservoir to obtain a first slice, in which the first trajectory of the high-angle fault zone in the first reservoir is marked. Based on the second geological data, a coherence analysis was performed on the second reservoir to obtain a second slice, in which the second slice is marked with the second trajectory of the high-angle fault zone in the second reservoir; Based on the first trajectory and the second trajectory, the target location of the high-angle fracture zone in the target reservoir is determined.

2. The method according to claim 1, characterized in that, Determining the target location of the high-angle fracture zone in the target reservoir based on the first trajectory and the second trajectory includes: Obtain the overlapping trajectory between the first trajectory and the second trajectory; The overlapping trajectory is determined as the target location of the high-angle fracture zone in the target reservoir.

3. The method according to claim 2, characterized in that, The step of obtaining the overlapping trajectory between the first trajectory and the second trajectory includes: A first geological structure coordinate system is established with the first slice as the first center, and the first coordinate data corresponding to the first trajectory is marked in the first geological structure coordinate system. A second geological structure coordinate system is established with the second slice as the second center. The second geological structure coordinate system is marked with the second coordinate data corresponding to the second trajectory. The first center in the first slice and the second center in the second slice have the same relative position. The first geological structure coordinate system and the second geological structure coordinate system are coordinate systems established with the same axis based on the same display angle of the first slice and the second slice. Compare the first coordinate data and the second coordinate data; The set of coordinate data in the first coordinate data that meets the similarity requirement with the second coordinate data is determined as the overlapping trajectory.

4. The method according to any one of claims 1 to 3, characterized in that, The method further includes: Obtain the non-overlapping trajectory between the first trajectory and the second trajectory; Determine a first position of the non-overlapping trajectory in the target reservoir, determine a second position of the non-overlapping trajectory in the first reservoir, and determine a third position of the non-overlapping trajectory in the second reservoir; Based on the relative relationship between the first position, the second position, and the third position, the location of the high-angle fault zone is determined from the non-overlapping trajectory.

5. The method according to claim 4, characterized in that, Determining the location of the high-angle fault zone from the non-overlapping trajectory based on the relative relationship between the first position, the second position, and the third position includes: Based on the first position and the second position, determine the offset angle of the non-overlapping trajectory between the target reservoir and the first reservoir; The location of the high-angle fracture zone is determined from the non-overlapping trajectory based on the offset angle, the first position, the second position, and the third position.

6. The method according to claim 5, characterized in that, Determining the location of the high-angle fault zone from the non-overlapping trajectory based on the offset angle, the first position, the second position, and the third position includes: Determine a first distance between the first reservoir and the target reservoir, and determine a second distance between the second reservoir and the target reservoir; Based on the offset angle and the first distance, a first layer spacing between the first reservoir and the target reservoir is determined; The second layer spacing between the second reservoir and the target reservoir is determined based on the offset angle and the second distance; The sum of the first layer spacing and the second layer spacing is determined as the horizontal displacement of the high-angle fracture zone in the non-overlapping trajectory; Based on the first distance and the second distance, determine the displacement ratio of the high-angle fracture zone in the non-overlapping trajectory; Based on the displacement ratio, the first position, the second position, and the third position are adjusted to obtain the adjusted first position, the adjusted second position, and the adjusted third position. Draw the connecting line between the adjusted first position, the adjusted second position, and the adjusted third position to generate the position of the high-angle fracture zone in the non-overlapping trajectory.

7. The method according to any one of claims 1 to 3, characterized in that, The process of performing coherence analysis on the first reservoir based on the first geological data to obtain a first slice includes: Obtain at least one characteristic attribute of the first reservoir; Based on the at least one feature attribute, a covariance matrix is ​​constructed, wherein the covariance matrix includes at least one feature value corresponding to the at least one feature attribute; Determine at least one similarity coefficient corresponding to each of the at least one feature value; The first slice is obtained based on the at least one similarity coefficient.

8. A device for identifying the location of a high-angle fracture zone, characterized in that, The device further includes: The acquisition module is used to acquire the geological profile map corresponding to the geological structure to be identified. The geological profile map is used to reflect the underground reservoir distribution and structural features of the geological structure to be identified. The selection module is used to select a first reservoir and a second reservoir from the geological structures to be identified that meet the preset similarity conditions of the target reservoir; The acquisition module is further configured to acquire first geological data corresponding to the first reservoir, and to acquire second geological data corresponding to the second reservoir; The acquisition module is further configured to perform coherence analysis on the first reservoir based on the first geological data to obtain a first slice, wherein the first slice is marked with the first trajectory of the high-angle fault zone in the first reservoir; The determination module is used to perform coherence analysis on the second reservoir based on the second geological data to obtain a second slice, in which the second slice is marked with the second trajectory of the high-angle fault zone in the second reservoir; The determining module is further configured to determine the target location of the high-angle fracture zone in the target reservoir based on the first trajectory and the second trajectory.

9. A computer device, characterized in that, The computer device includes a processor and a memory, the memory storing at least one program, which is loaded and executed by the processor to implement the method for identifying the location of high-angle fault zones as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The storage medium stores at least one program, which is loaded and executed by a processor to implement the method for identifying the location of high-angle fracture zones as described in any one of claims 1 to 7.